Senior AI-Driven Data Intelligence Analyst

Publicis Groupe ANZ

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+

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Job summary

Publicis Groupe ANZ is seeking a Senior Data Intelligence Analyst to join our regional Data Intelligence team. You will interrogate and transform data using SQL, create dashboards in Power BI or Looker, and apply AI-enabled analysis to deliver actionable business insights across markets.

You will test data reliability, identify anomalies, and benchmark data to translate complex findings into business recommendations.

Qualifications

  • 3-5 years of relevant experience in data analytics or related fields.
  • Strong SQL skills with experience handling large datasets.
  • Experience with Power BI or Looker/Looker Studio.
  • Proven experience using AI tools for analytics and workflow improvements.
  • Ongoing development in AI and data analytics through courses or projects.

Responsibilities

  • Query, clean and transform large datasets across multiple markets and sources.
  • Develop dashboards and visualisations using Power BI or Looker Studio.
  • Analyse digital media, competitive intelligence and market data for trends and insights.
  • Evaluate data quality and reliability using validation, benchmarking and stats.
  • Develop data normalisation, estimation and benchmarking methods across sources.
  • Apply AI-enabled analytical tools to accelerate analysis and QA.
  • Use AI-assisted coding and automation to reduce repetitive work and improve consistency.
  • Maintain rigorous QA standards and document methodologies.

Skills

SQL
Power BI
Looker Studio
AI tools for analytics
Data visualization
Excel
Data analytics
BigQuery
Stakeholder communication

Tools

BigQuery

Job description

Publicis Groupe ANZ is seeking a Senior Data Intelligence Analyst to join our regional Data Intelligence team. You will interrogate and transform data using SQL, create dashboards in Power BI or Looker, and apply AI-enabled analysis to deliver actionable business insights across markets.

You will test data reliability, identify anomalies, and benchmark data to translate complex findings into business recommendations.

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